Natural Hazards

, Volume 81, Issue 1, pp 405–421 | Cite as

Impacts of energy-related CO2 emissions in China: a spatial panel data technique

  • Yan-Qing KangEmail author
  • Tao Zhao
  • Peng Wu
Original Paper


Since carbon dioxide (CO2) emissions cause great concern around the world, a large amount of literature focuses on the impact factors of CO2 emissions. However, there is little specific guidance on the spatial effects of variables and regional characteristics of CO2 emissions in China. Based on spatial panel methods, this paper used a STIRPAT (stochastic impacts by regression on population, affluence and technology) model to examine the impact of energy-related factors on CO2 emissions in China. Then, the spillover effects of China’s provincial per capita CO2 emissions have been tested. The results indicate that there exist obvious spatial correlation and spatial agglomeration features in spatial distribution of per capita CO2 emissions. Spatial economic model is demonstrated to offer a greater explanatory power than the traditional non-spatial panel model. Moreover, GDP per capita, energy intensity, industrial structure and urbanization have positive and significant effects on CO2 emissions, while the coefficient of population is not significant. According to these results, this paper proposes some policy suggestions on reducing China’s CO2 emissions.


Spatial panel data model STIRPAT model Regional difference China 



The authors gratefully acknowledge the financial supported by the National Natural Science Foundation of China (No. 71373172) and Humanities and Social Sciences Planning Fund Project of Ministry of Education (No. 15YJA790091).


  1. Akbostancı E, Türüt-Aşık S, Tunç Gİ (2009) The relationship between income and environment in Turkey: Is there an environmental Kuznets curve? Energy Policy 37:861–867CrossRefGoogle Scholar
  2. Al-Mulali U, Ozturk I (2015) The effect of energy consumption, urbanization, trade openness, industrial output, and the political stability on the environmental degradation in the MENA (Middle East and North African) region. Energy 84:382–389CrossRefGoogle Scholar
  3. Al-Mulali U, Tang CF, Ozturk I (2015) Does financial development reduce environmental degradation? Evidence from a panel study of 129 countries. Environ Sci Pollut Res Int 22:14891–14900CrossRefGoogle Scholar
  4. Apergis N, Ozturk I (2015) Testing environmental Kuznets curve hypothesis in Asian countries. Ecol Indic 52:16–22CrossRefGoogle Scholar
  5. Burnett JW, Bergstrom JC, Dorfman JH (2013) A spatial panel data approach to estimating U.S. state-level energy emissions. Energy Econ 40:396–404CrossRefGoogle Scholar
  6. Chang N (2014) Changing industrial structure to reduce carbon dioxide emissions: a Chinese application. J Clean Prod 103:40–48CrossRefGoogle Scholar
  7. Chang CC, Soruco Carballo CF (2011) Energy conservation and sustainable economic growth: the case of Latin America and the Caribbean. Energy Policy 39:4215–4221CrossRefGoogle Scholar
  8. Dietz T, Rosa E (1997) Effects of population and affluence on CO2 emissions. Proc Natl Acad Sci USA 94:175–179CrossRefGoogle Scholar
  9. Ehrlich P, Holdren J (1971) The impact of population growth. Science 171:1212–1217CrossRefGoogle Scholar
  10. Elhorst JP (2012) Matlab software for spatial panels. Int Reg Sci Rev 3(7):389–405Google Scholar
  11. Farhani S, Ozturk I (2015) Causal relationship between CO2 emissions, real GDP, energy consumption, financial development, trade openness, and urbanization in Tunisia. Environ Sci Pollut Res Int 22:15663–15676CrossRefGoogle Scholar
  12. Hao Y, Liu YM (2015) The influential factors of urban PM2.5 concentrations in China: a spatial econometric analysis. J Clean Prod 2015:1-11. doi: 10.1016/j.jclepro.2015.05.005
  13. IEA (2013) World energy outlook 2013. International Energy Agency, ParisCrossRefGoogle Scholar
  14. Li H, Mu H, Zhang M, Gui S (2012) Analysis of regional difference on impact factors of China’s energy—related CO2 emissions. Energy 39:319–326CrossRefGoogle Scholar
  15. Lin BQ, Jiang ZJ (2009) Environmental Kuznets curve: the prediction and the analysis of influencing factors of the CO2 of China. Manag World 4:27–36 (in Chinese) Google Scholar
  16. Lin S, Zhao D, Marinova D (2009) Analysis of the environmental impact of China based on STIRPAT model. Environ Impact Assess Rev 29:341–347CrossRefGoogle Scholar
  17. Ma B (2015) Does urbanization affect energy intensities across provinces in China? Long-run elasticities estimation using dynamic panels with heterogeneous slopes. Energy Econ 49:390–401CrossRefGoogle Scholar
  18. Maddison D (2006) Environmental Kuznets curves: a spatial econometric approach. J Environ Econ Manag 51:218–230CrossRefGoogle Scholar
  19. Meng L, Je Guo, Chai J, Zhang Z (2011) China’s regional CO2 emissions: characteristics, inter-regional transfer and emission reduction policies. Energy Policy 39:6136–6144CrossRefGoogle Scholar
  20. National Bureau of Statistics of China (1998–2013a) China energy statistical yearbook. China Statistical Press, BeijingGoogle Scholar
  21. National Bureau of Statistics of China (1998–2013b) China statistical yearbook. China Statistical Press, BeijingGoogle Scholar
  22. O’Neill BC, Ren X, Jiang L, Dalton M (2012) The effect of urbanization on energy use in India and China in the iPETS model. Energy Econ 34:S339–S345CrossRefGoogle Scholar
  23. Pao HT, Tsai CM (2011) Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil. Energy 36:2450–2458CrossRefGoogle Scholar
  24. Poumanyvong P, Kaneko S (2010) Does urbanization lead to less energy use and lower CO2 emissions? A cross-country analysis. Ecol Econ 70:434–444CrossRefGoogle Scholar
  25. Saboori B, Sulaiman J (2013) Environmental degradation, economic growth and energy consumption: evidence of the environmental Kuznets curve in Malaysia. Energy Policy 60:892–905CrossRefGoogle Scholar
  26. Sadorsky P (2014) The effect of urbanization on CO2 emissions in emerging economies. Energy Econ 41:147–153CrossRefGoogle Scholar
  27. Shafiei S, Salim RA (2014) Non-renewable and renewable energy consumption and CO2 emissions in OECD countries: a comparative analysis. Energy Policy 66:547–556CrossRefGoogle Scholar
  28. Shahbaz M, Sbia R, Hamdi H, Ozturk I (2014) Economic growth, electricity consumption, urbanization and environmental degradation relationship in United Arab Emirates. Ecol Indic 45:622–631CrossRefGoogle Scholar
  29. Sharma SS (2011) Determinants of carbon dioxide emissions: empirical evidence from 69 countries. Appl Energy 88:376–382CrossRefGoogle Scholar
  30. Tian X, Chang M, Shi F, Tanikawa H (2014) How does industrial structure change impact carbon dioxide emissions? A comparative analysis focusing on nine provincial regions in China. Environ Sci Policy 37:243–254CrossRefGoogle Scholar
  31. Wang Z, Yang L (2015) Delinking indicators on regional industry development and carbon emissions: Beijing–Tianjin–Hebei economic band case. Ecol Indic 48:41–48CrossRefGoogle Scholar
  32. Wang Y, Zhao T (2015) Impacts of energy-related CO2 emissions: evidence from under developed, developing and highly developed regions in China. Ecol Indic 50:186–195CrossRefGoogle Scholar
  33. Wang Y, Kang L, Wu X, Xiao Y (2013) Estimating the environmental Kuznets curve for ecological footprint at the global level: a spatial econometric approach. Ecol Indic 34:15–21CrossRefGoogle Scholar
  34. Wang S, Fang C, Guan X, Pang B, Ma H (2014) Urbanisation, energy consumption, and carbon dioxide emissions in China: a panel data analysis of China’s provinces. Appl Energy 136:738–749CrossRefGoogle Scholar
  35. Wei YD (2015) Spatiality of regional inequality. Appl Geogr 61:1–10CrossRefGoogle Scholar
  36. Yin J, Zheng M, Chen J (2015) The effects of environmental regulation and technical progress on CO2 Kuznets curve: an evidence from China. Energy Policy 77:97–108CrossRefGoogle Scholar
  37. Zhang YJ, Da YB (2013) Decomposing the changes of energy-related carbon emissions in China: evidence from the PDA approach. Nat Hazards 69:1109–1122CrossRefGoogle Scholar
  38. Zhang YJ, Da YB (2015) The decomposition of energy-related carbon emission and its decoupling with economic growth in China. Renew Sustain Energy Rev 41:1255–1266CrossRefGoogle Scholar
  39. Zhang C, Lin Y (2012) Panel estimation for urbanization, energy consumption and CO2 emissions: a regional analysis in China. Energy Policy 49:488–498CrossRefGoogle Scholar
  40. Zhang YJ, Liu Z, Zhang H, Tan TD (2014) The impact of economic growth, industrial structure and urbanization on carbon emission intensity in China. Nat Hazards 73:579–595CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  1. 1.College of Management and EconomicsTianjin UniversityTianjinChina
  2. 2.School of Economics and Business AdministrationBeijing Normal UniversityBeijingChina

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